Abstract
With limited resources, the delivery of affordable and reliable healthcare is increasingly becoming a difficult task for all nations across the globe. Decision makers in the healthcare domain in Canada are faced with the issue of seeking a balance between HIV/AIDS prevention and treatment spending. Therefore, we used Canadian case data in this study. Here, we present key limitations of this study, our major findings, implications of dynamic decision making research, and implications of improving practice in dynamic tasks in various domains including computer simulation-based education and training, aviation, healthcare, and policymaking. Based on the results reported in Chap. 4, here we will specifically discuss and argue why debriefing-based SDILE was effective in improving users’ decision making and learning in dynamic tasks and why it did not help users to become “efficient decision makers.” We will also talk about how the users perceived the utility of SIADH-ILE in improving their decision making and learning in the dynamic task.
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Qudrat-Ullah, H. (2020). Discussion and Conclusions. In: Improving Human Performance in Dynamic Tasks. SpringerBriefs in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-28166-3_5
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